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- Title
Airborne LiDAR Feature Selection for Urban Classification Using Random Forests.
- Authors
SUN Jie; LAI Zulong
- Abstract
To the question that multisource features' contribution to classification is not explicit in airborne LiDAR system data, based on object oriented data mining, this paper proposed a method to select features for classification using Random Forest. It's proved that the features' contribution can be evaluated correctly and the selected features can still make a high classification accuracy.
- Subjects
LIDAR; LASER based sensors; RADAR -- Optical equipment; RANDOM forest algorithms; DECISION trees
- Publication
Geomatics & Information Science of Wuhan University, 2014, Vol 39, Issue 11, p1310
- ISSN
1671-8860
- Publication type
Article
- DOI
10.13203/j.whugis20130206